{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from torch import nn\n",
    "from torchvision import models\n",
    "\n",
    "# load model\n",
    "model_resnet18 = models.resnet18(pretrained=False)\n",
    "num_ftrs = model_resnet18.fc.in_features\n",
    "# change last layer\n",
    "num_classes=10\n",
    "model_resnet18.fc = nn.Linear(num_ftrs, num_classes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch \n",
    "\n",
    "# load state_dict into model\n",
    "path2weights=\"./models/resnet18_pretrained.pt\"\n",
    "model_resnet18.load_state_dict(torch.load(path2weights))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# set model in evaluation mode\n",
    "model_resnet18.eval();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# move model to cuda/gpu device\n",
    "if torch.cuda.is_available():\n",
    "    device = torch.device(\"cuda\")\n",
    "    model_resnet18=model_resnet18.to(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def deploy_model(model,dataset,device, num_classes=10,sanity_check=False):\n",
    "\n",
    "    len_data=len(dataset)\n",
    "    \n",
    "    # initialize output tensor on CPU: due to GPU memory limits\n",
    "    y_out=torch.zeros(len_data,num_classes)\n",
    "    \n",
    "    # initialize ground truth on CPU: due to GPU memory limits\n",
    "    y_gt=np.zeros((len_data),dtype=\"uint8\")\n",
    "    \n",
    "    # move model to device\n",
    "    model=model.to(device)\n",
    "    \n",
    "    elapsed_times=[]\n",
    "    with torch.no_grad():\n",
    "        for i in range(len_data):\n",
    "            x,y=dataset[i]\n",
    "            y_gt[i]=y\n",
    "            start=time.time()    \n",
    "            yy=model(x.unsqueeze(0).to(device))\n",
    "            y_out[i]=torch.softmax(yy,dim=1)\n",
    "            elapsed=time.time()-start\n",
    "            elapsed_times.append(elapsed)\n",
    "\n",
    "            if sanity_check is True:\n",
    "                break\n",
    "\n",
    "    inference_time=np.mean(elapsed_times)*1000\n",
    "    print(\"average inference time per image on %s: %.2f ms \" %(device,inference_time))\n",
    "    return y_out.numpy(),y_gt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading Test Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files already downloaded and verified\n",
      "(8000, 3, 96, 96)\n"
     ]
    }
   ],
   "source": [
    "from torchvision import datasets\n",
    "import torchvision.transforms as transforms\n",
    "\n",
    "# define transformation\n",
    "data_transformer = transforms.Compose([transforms.ToTensor()])\n",
    "\n",
    "path2data=\"./data\"\n",
    "\n",
    "# loading data\n",
    "test0_ds=datasets.STL10(path2data, split='test', download=True,transform=data_transformer)\n",
    "print(test0_ds.data.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test: [2096 4321 2767 ... 3206 3910 2902] val: [6332 6852 1532 ... 5766 4469 1011]\n",
      "1600 6400\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import StratifiedShuffleSplit\n",
    "\n",
    "sss = StratifiedShuffleSplit(n_splits=1, test_size=0.2, random_state=0)\n",
    "\n",
    "indices=list(range(len(test0_ds)))\n",
    "y_test0=[y for _,y in test0_ds]\n",
    "for test_index, val_index in sss.split(indices, y_test0):\n",
    "    print(\"test:\", test_index, \"val:\", val_index)\n",
    "    print(len(val_index),len(test_index))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from torch.utils.data import Subset\n",
    "\n",
    "val_ds=Subset(test0_ds,val_index)\n",
    "test_ds=Subset(test0_ds,test_index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean=[0.4467106, 0.43980986, 0.40664646]\n",
    "std=[0.22414584,0.22148906,0.22389975]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "test0_transformer = transforms.Compose([\n",
    "    transforms.ToTensor(),\n",
    "    transforms.Normalize(mean, std),\n",
    "    ])   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "test0_ds.transform=test0_transformer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "average inference time per image on cuda: 3.62 ms \n",
      "(1600, 10) (1600,)\n"
     ]
    }
   ],
   "source": [
    "import time\n",
    "import numpy as np\n",
    "\n",
    "# deploy model \n",
    "y_out,y_gt=deploy_model(model_resnet18,val_ds,device=device,sanity_check=False)\n",
    "print(y_out.shape,y_gt.shape)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1600,) (1600,)\n",
      "accuracy: 0.88\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "# get predictions\n",
    "y_pred = np.argmax(y_out,axis=1)\n",
    "print(y_pred.shape,y_gt.shape)\n",
    "\n",
    "# compute accuracy \n",
    "acc=accuracy_score(y_pred,y_gt)\n",
    "print(\"accuracy: %.2f\" %acc)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "average inference time per image on cuda: 3.53 ms \n",
      "0.87828125\n"
     ]
    }
   ],
   "source": [
    "y_out,y_gt=deploy_model(model_resnet18,test_ds,device=device)\n",
    "\n",
    "y_pred = np.argmax(y_out,axis=1)\n",
    "acc=accuracy_score(y_pred,y_gt)\n",
    "print(acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "image indices: [5157  235 3980 5192]\n",
      "torch.Size([3, 100, 394])\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from torchvision import utils\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "%matplotlib inline\n",
    "np.random.seed(1)\n",
    "\n",
    "def imshow(inp, title=None):\n",
    "    mean=[0.4467106, 0.43980986, 0.40664646]\n",
    "    std=[0.22414584,0.22148906,0.22389975]\n",
    "    inp = inp.numpy().transpose((1, 2, 0))\n",
    "    mean = np.array(mean)\n",
    "    std = np.array(std)\n",
    "    inp = std * inp + mean\n",
    "    inp = np.clip(inp, 0, 1)\n",
    "    plt.imshow(inp)\n",
    "    if title is not None:\n",
    "        plt.title(title)\n",
    "    plt.pause(0.001)  # pause a bit so that plots are updated  \n",
    "\n",
    "grid_size=4\n",
    "rnd_inds=np.random.randint(0,len(test_ds),grid_size)\n",
    "print(\"image indices:\",rnd_inds)\n",
    "\n",
    "x_grid_test=[test_ds[i][0] for i in rnd_inds]\n",
    "y_grid_test=[(y_pred[i],y_gt[i]) for i in rnd_inds]\n",
    "\n",
    "x_grid_test=utils.make_grid(x_grid_test, nrow=4, padding=2)\n",
    "print(x_grid_test.shape)\n",
    "\n",
    "plt.rcParams['figure.figsize'] = (10, 5)\n",
    "imshow(x_grid_test,y_grid_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "average inference time per image on cpu: 13.95 ms \n",
      "(1600, 10) (1600,)\n"
     ]
    }
   ],
   "source": [
    "device_cpu = torch.device(\"cpu\")\n",
    "y_out,y_gt=deploy_model(model_resnet18,val_ds,device=device_cpu,sanity_check=False)\n",
    "print(y_out.shape,y_gt.shape)"
   ]
  }
 ],
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